DocumentCode
3024887
Title
Exponentially convergent behaviour of simple stochastic adaptive estimation algorithms
Author
Bitmead, R.R. ; Anderson, B.D.O.
Author_Institution
University of Newcastle, New South Wales, Australia
fYear
1979
fDate
10-12 Jan. 1979
Firstpage
580
Lastpage
585
Abstract
A stochastic algorithm, familiar from adaptive estimation, is introduced and its homogeneous part is shown to be exponentially convergent for a wide class of inputs, which need not be stationary. The implications of this convergence rate for the nonhomogeneous algorithm in practical situations are qualitatively examined and a possible approach to improving performance in use is suggested.
Keywords
Adaptive estimation; Australia; Convergence; Parameter estimation; Stochastic processes;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/CDC.1978.267996
Filename
4046183
Link To Document